I have two dynamic product groups
First: Test Product with variants
Conditions: Product Is equal to Variant product
Result total 7 like I expect this
Second: Active Products
Conditions: Active yes
we allready see that the stream ids are just set to 5 products
Now we get a total of 5 instead of 15 products like expected?
Why is it inconsistent, and how can I modify my request to consider also the variants?
You shouldn't rely on the stream_ids column as an indicator which product is shown in a dynamic product group at any given moment. This is because there are multiple more things that factor into whether a product is shown to a user in a dynamic product group.
The filters you define for the group resolve to an SQL query, which in simplified terms would yield something like WHERE active = 1 AND id IN ('...', '...'). So the stream_ids column isn't used to select the contents of a group, but the entire query including all filters is executed in the storefront request. The result of that query is what you see in the preview of the dynamic product group.
Why doesn't it correlate completely with the content of stream_ids?
Shopware features inheritance of fields. If fields of a variant haven't been assigned a value, they may inherit that value from their parents. This may not be reflected in the contents of stream_ids. In fact the children/variants may even inherit the contents of stream_ids.
Then there's the fact that contents of the product group may vary, depending on the current sales channel. That may be because the sales channel features a different language, hence the content of a translatable field used in a filter may vary. Also if you use price filters, there is the possibility of products with multiple prices, which might only be shown if certain conditions are met, defined by the rule builder.
In short, don't count on the stream_ids, which can't reflect all these variables but are used in some capacity internally, for invalidating caches and such. Instead use the preview to judge what the average user might find when they see a product group. There's also the possibility to choose which sales channel the preview should apply to, for the exact reason, that contents may differ depending on the sales channel.
Related
I installed an add-on for bulk action (called ba_importer v 1.1.24), I upload an Excel file with my data and create a group of products.
I can set the categories' tree or manually add ID of main categories and associated. I tried with no luck to use the tree features (like Home/Products/etc) and so I use all the ID of main category and all the associated. The result is a product with the correct categories set, but with no specific price from the customer group linked to a category.
I tried to edit a single product, remove all categories and set it one by one (set one, save, set one, save etc.) and then the specific price from the group linked to a category appears to the product.
Is there a better solution? I'm thinking about make a personal PHP page that reads an Excel file and sets all the information about the product, but I'm scared to face the same problem with the specific price.
There is no such thing as "category-related specific price",
if you have specific prices tied to customer groups , these are created as a result of the add/update product action with ps_specific_price DB entries having id_group with your restricted ID.
It is likely that the bulk module acts directly with DB queries to speed up things and bypasses this operation, I've seen this behaviour with those kind of modules in the past.
Since you are talking of a paid add-on, I would definitely seek help from the developer.
In Eloqua, can you send out an email to a contact list but version the "hero" image headline for each segment using dynamic content blocks?
And then can you do the reverse, have the main image remain the same, and dynamically populate products below that they've purchased in the past?
For scenario 1, yes that is possible out of the box.
Scenario 2 however is a bit more complicated and would generally require a 3rd party tool to provide this type of dynamic code generation based upon a lookup table (in this case a line item inventory or purchases). Because a contact could have zero or more products (commonly as individual records in a CDO), you would generally need to aggregate or count the number of related records, and then generate your HTML table and formatting around those record values, and be contextually aware if it is the first or last record (to begin and close the table). Dynamic content does not have mathematical functions and would not be able to count those related records - this is something usually provided by a B2C system like SFMC using ampscript or dynamically generated through custom code and sent through a transactional SMTP service. You could have multiple dynamic content on top of each other, but your biggest limitation becomes the field merge, with only lets you select a record based upon earliest/last creation date, or last modified. This is not suitable if you have more than 2 records. A third party service that provides a cloud content module for your email is your best bet.
I've got a few products where I need the quantities for a specific product to start at a number, 240 for example and then the customer can select in intervals of 240, and for a different product, say 100 units. I need a way to separate a list of quantities for separate products.
You can examine the documentation related to InventoryItem endpoints which leads to InventoryLevel endpoints. Once you get a handle on Locations, you are free to set inventory levels. Note that setting explicit amounts is no longer the fashion, instead you ask how much is there, and then modify that amount with a delta change.
So if you ask for a product's variant level, and it tells you the current availability is 0, your delta might be +240.
I'm building a filter page, with facets etc, which works as it should.
Now the our customer has a request to, basically "Be able to decide which sorting the items comes out in".
Each product is decorated with a Product Display Order, and is in a Product Line.
We got these example Product Display Orders:
1. Featured Item
2. Core Item
3. Spare Part
4. Utility
And these Product Lines:
1. Hammers
2. Saw
3. Wood
and the sorting is like this:
Sorting should firstly be based on Product Display Orders, secondly by product lines, thirdly Alphabetically.
So all products which is a Featured Item is listed first, and all these Featured Items is then sorted by their product line, and if some product are in the same Featured Item and Product Line, then its alphabetically.
The challenge is: I can't just get the sorting of Product Display order items and product lines as a number on the product, i only got a name/id.
We've thought of Boosting based on if the product are in the different categories, but it seems a bit messy.
OR
See if it possible to have some logic in the Sorting.
Sort by productDisplayOrder:
1. featured, 2. core Item ...
Then by ProductLines:
1. Hammers, 2. Saw ...
Then by Name DESC.
Which way is the best way to have this sorting, is it possible to give this logic to elastic, if it is a match and then sort it. Or are we needed to twist the boosts of product?
Hopefully this makes sense for you.
Thanks in advance! :)
Option 1). Quickest/Best performing solution would be to create new/separate integer fields for productDisplayOrder and ProductLine and then use those in your sort criteria as described (after reindexing and validating the the data is indexed as expected).
Option 2) If you want more nuance than described (eg higher scoring matches can 'break through' the ordering ceiling described) then you can explore using a Function Score Query to implement a custom scoring strategy that takes productDisplayOrder and ProductLine into consideration in generating an overall match score.
Option 3). If you can't change the mapping and reindexing your data, you can use Script-Based Sorting to generate sorting values from the currently indexed productDisplayOrder/ProductLine text using a script (eg Groovy). Keep in mind that query performance will be worse than the first two options.
How can I re-use a single complex dataset across a number of tables?
The dataset has a number of computed columns that needs to be reported both in detail and in summary. Here's a very simplified example dataset:
is_food sale_association food_type total_sold total_associations percent_total
1 Before Movie Popcorn 50 3 x BirtMath.safeDivide(...)
0 Before Movie Soda 10 2 x BirtMath.safeDivide(...)
1 During Movie Jujubee 10 1 x BirtMath.safeDivide(...)
0 After Movie Soda 15 2 x BirtMath.safeDivide(...)
From this one dataset, I'd want to create a detailed summary of all food types while rolling up non food (using the 'is_food' column), another summary of all food types, another detailed summary of food with rolled up non-food by sale_association, etc. etc.
The report would also contain a number of percentages (6 in the most complex table) that need to be calculated (some across a row, others across all rows in a given group), all of which can have a zero value for the denominator and so need to be guarded against with safeDivide (which is a PITA to do in the source SQL query which itself is doing aggregation -- checking for divide by zero when both the numerator and denominator are sums leads to hairy queries).
Obviously I can do this by focusing the() SQL query as appropriate, but it seems like a waste of time and effort to create 12 or 15 queries that are very similar when I've already managed to create the monster query for the most detailed table.
What doesn't seem straightforward is how to perform the rollups in a table. I managed to hack something together by hiding rows that would later be summed up (e.g. "is_food == 0" in the example) and then creating custom data bindings that are displayed in a footer row. Not only does it feel like a hack, it also interferes with the ability to naturally order rows. Again, going back to the example, if I was ordering by total_sold and summarizing rows with is_food == 0, the natural order should be Popcorn, Non-food, Jujubee.
There's nothing in the BIRT wiki about this, nor does "BIRT: A Field Guide, 3rd E." really delve into the topic.
This seems like a fairly open-ended question (although I agree that re-using a single dataset makes much more sense than having multiple queries retrieving the same data in slightly different ways). A few general suggestions:
Use the most detailed version of the data required as a common dataset for each BIRT report item (typically BIRT tables)
Where summary-only level reporting is required, add groups to the BIRT table at the desired level, add data items as required to the group headers/footers and delete the detail level row(s) from the BIRT table.
Where detail-level reporting is required in some cases (eg. for food items but not for non-food items), add groups to the BIRT table as above, and set the visibility of the detail row (in Property Editor - Properties - Visibility) to check Hide Element, then specify the appropriate expression to suppress the non-required rows (non-food items, in this example).
Aggregations (ie. summary expressions) can be added to tables by selecting the whole table, selecting the Binding tab within the Property Editor and clicking the Add Aggregation... button.